Global AI Platform Leader — Enterprise-Scale AI

Teradata Group

United States

Hybrid

USD 180,000 - 240,000

Full time

14 days+
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Job summary

Teradata is seeking an AI Platform Product Management Leader to own the strategy and execution for Teradata’s AI platform capabilities, including VantageCloud Lake, ClearScape Analytics, AI Unlimited, ModelOps, LLMOps, and enterprise vector capabilities. You will translate evolving AI market needs into differentiated platform capabilities and measurable business outcomes across enterprise data.

You will lead a global team of product managers, collaborating with engineering, cloud, security, data

Qualifications

  • Experience leading product strategy for enterprise AI, analytics, or data platforms.
  • Proven ability to scale platform products and drive adoption and revenue.
  • Deep knowledge of AI governance, ModelOps/LLMOps, and vector tech.

Responsibilities

  • Own and govern the product vision, strategy, and roadmap for AI platform portfolio.
  • Define platform capabilities for AI/ML lifecycle and enterprise data use cases.
  • Collaborate with engineering, cloud, security, data science, and GTM teams.
  • Lead a global team of product managers focused on adoption and launch readiness.
  • Engage with customers and executives to identify use cases and differentiators.

Skills

Enterprise AI strategy
Product leadership
Roadmapping
Cross-functional collaboration
AI/ML lifecycle

Education

Advanced degree in CS/DS/Engineering/Analytics

Tools

Python
Jupyter
APIs
Open-source AI services

Job description

Teradata is seeking an AI Platform Product Management Leader to own the strategy and execution for Teradata’s AI platform capabilities, including VantageCloud Lake, ClearScape Analytics, AI Unlimited, ModelOps, LLMOps, and enterprise vector capabilities. You will translate evolving AI market needs into differentiated platform capabilities and measurable business outcomes across enterprise data.

You will lead a global team of product managers, collaborating with engineering, cloud, security, data

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